mloss | Projects that are tagged with multi task.

Sparse Compositional Metric Learning v1.11

by bellet - August 2, 2016, 11:43:03 CET [ ] 17655 views, 4809 downloads, 0 subscriptions

About: Scalable learning of global, multi-task and local metrics from data

Changes:

Minor bug fix in multi-task objective computation (thanks to Junjie Hu).

Authors: Yuan Shi, Aurelien Bellet
License: Gnu Gpl V3
Programming Language: Matlab Mex

Operating System: Agnostic
Data Formats: Any Format Supported By Matlab
Tags: Sparsity, Multi Task, Metric Learning, Local Metrics

Linear SVM with general regularization 1.0

by rflamary - October 5, 2012, 15:34:21 CET [ ] 11775 views, 3088 downloads, 0 subscriptions

About: This package is an implementation of a linear svm solver with a wide class of regularizations on the svm weight vector (l1, l2, mixed norm l1-lq, adaptive lasso). We provide solvers for the classical single task svm problem and for multi-task with joint feature selection or similarity promoting term.

Changes:

Initial Announcement on mloss.org.

Authors: Remi Flamary, Alain Rakotomamonjy
License: Gnu Gpl V2
Programming Language: Matlab

Operating System: Agnostic
Data Formats: Any Format Supported By Matlab
Tags: Large Scale, Kernelmachine, Svm, Bci, Classification, Support Vector Machines, Feature Selection, Linear Svm, Convex Optimization, Gradient Based Learning, Manifold Learning, Optimization, Algorithms, Feature Weighting, Trace Norm, Toolbox, Group Lasso, Lasso, Sparse Learning, Quadratic Programming, Weighting, L1 Regularization, Large Datasets, Regularization, Pattern Recognition, Discriminant Analysis, Linear Model, Generalized Linear Models, Multiclass Support Vector Machine, L1 Minimization, Sparse Representation, L1 Norm, L21 Norm, Dimension Reduction, Multi Task

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Sparse Compositional Metric Learning v1.11

Linear SVM with general regularization 1.0